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Convergence and stability of two classes of theta-Milstein schemes for stochastic differential equations.

Authors :
Zong, Xiaofeng
Wu, Fuke
Xu, Guiping
Source :
Journal of Computational & Applied Mathematics. Jul2018, Vol. 336, p8-29. 22p.
Publication Year :
2018

Abstract

This paper examines convergence and stability of the two classes of theta-Milstein schemes for stochastic differential equations (SDEs) with non-global Lipschitz continuous coefficients: the split-step theta-Milstein (SSTM) scheme and the stochastic theta-Milstein (STM) scheme. For θ ∈ [ 1 ∕ 2 , 1 ] , this paper concludes that the two classes of theta-Milstein schemes converge strongly to the exact solution with the order 1. For θ ∈ [ 0 , 1 ∕ 2 ] , under the additional linear growth condition for the drift coefficient, these two classes of the theta-Milstein schemes are also strongly convergent with the standard order. This paper also investigates exponential mean-square stability of these two classes of the theta-Milstein schemes. For θ ∈ ( 1 ∕ 2 , 1 ] , these two theta-Milstein schemes can share the exponential mean-square stability of the exact solution. For θ ∈ [ 0 , 1 ∕ 2 ] , similar to the convergence, under the additional linear growth condition, these two theta-Milstein schemes can also reproduce the exponential mean-square stability of the exact solution. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03770427
Volume :
336
Database :
Academic Search Index
Journal :
Journal of Computational & Applied Mathematics
Publication Type :
Academic Journal
Accession number :
127842508
Full Text :
https://doi.org/10.1016/j.cam.2017.12.025